Instructions to use halimb/sam-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halimb/sam-vit-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="halimb/sam-vit-base")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("halimb/sam-vit-base") model = AutoModelForMaskGeneration.from_pretrained("halimb/sam-vit-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6eab3190beb72c24814504b531617336f3c2eb4ba8a948c35f4590c08f061d7
- Size of remote file:
- 375 MB
- SHA256:
- 892c410e496344e527255ccdcb2cb7244a609acb5389c7c4fdba1288f861c579
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